#AI Agent
1074 related articles
Mouse-1: An Efficient Decision Model Built for AI Agents, 163x Cheaper
Mouse-1 is a lightweight decision model for AI Agent frameworks, reportedly 163x cheaper and 65x faster than GPT-6 Sol. Learn how it works, its cost advantages, and use cases.
Don't Rush to Deploy AI Agents: A Complete Design Guide to Tool Use and Function Calling
A systematic guide to AI agent tool design: JSON Schema, execution loops, parameter validation, error feedback, least privilege, human approval, and production practices.
AI Agent Launches a Product Business in One Day: Hands-On with Alibaba's AI Product Sourcing and Sampling
Hands-on test of Alibaba.com's AI Mode: an AI Agent completes sourcing, design, branding, and orders a real sample in one day — but final decisions still need a human.
Cursor Engineer Open-Sources Pstack: A Six-Phase AI Coding Workflow Breakdown
Cursor engineer Lauren Tan open-sources Pstack, splitting AI coding into six phases: planning, design, building, testing, deployment, and maintenance. This article breaks down the multi-model arena design, TDD and cleanup diff skills, end-to-end verification and swarm testing, plus coding principles like attack the premise, with a Bilibili creator's hands-on commentary.
Vercel Drives Officially Launches: The Era of Stateful AI Agent Hosting Begins
Vercel Drives is now generally available, letting developers run stateful AI Agents on Vercel. This analysis covers how it solves session persistence, long-task continuity, and tool-calling context passing, plus its impact on AI app development and the Agent hosting competitive landscape.
MemCurrent: Designing Persistent Memory Systems for Production-Grade Agents
MemCurrent explores persistent memory design for production-grade AI Agents: why context windows aren't memory, and solutions to four engineering challenges: writing, retrieval, updating, and isolation.
ToDo.is: Hand Your To-Dos to an AI Agent That Actually Does the Work
ToDo.is is an always-on AI agent to-do tool: write a task and it executes—research with sources, generate files and images, scheduled briefings and price alerts. Works on web, Android, WhatsApp, and Telegram, and asks before paid, send, or delete actions.
MCP Protocol Deep Dive: A Standardized Connection Solution for AI Agents
A deep dive into the Model Context Protocol (MCP): its Host/Client/Server architecture, JSON-RPC messaging, STDIO and Streamable HTTP transports, Tools/Resources/Prompts primitives, and security best practices—helping AI developers systematically understand this standardized agent connection protocol.
Give Your AI Agent a Shelf: MCP + x402 Lets Agents Shop Autonomously
A real experiment: give an AI Agent a secondhand shelf, expose search, lookup, and purchase-intent tools via MCP, and return payment challenges with x402—but eBay still closes the deal. Exploring agent-readable e-commerce.
Open-Source Tool StepFork: Record and Replay AI Agent Executions So Debugging No Longer Relies on Luck
StepFork is an open-source AI Agent debugging tool that supports recording and replaying execution traces, forking experiments to fix issues, minimizing failed traces, and generating regression tests. v0.2.1 is seeking contributors for cross-platform CI, CLI testing, and LangGraph tutorials.
AI Agent Full-Stack Development Course: LangChain + LangGraph + MCP in Practice
A practical breakdown of the Bilibili AI Agent full-stack course: Vue project demos explain the perceive-decide-act loop, plus LangChain, LangGraph, MCP, and LLM selection.
WorkBuddy Hands-On Tutorial: Getting Started with Desktop AI Agent Office Automation
WorkBuddy desktop AI Agent hands-on tutorial: installation, claiming credits, file organization, image-to-video, personal website development, Feishu connectors, and automated scheduled tasks—covering three working modes and the three ecosystems of skills, experts, and connectors, with a pitfall-avoidance guide.
WorkBuddy from Beginner to Expert: How AI Agents Actually Operate Your Computer
A hands-on review of Bilibili creator Shanyao's WorkBuddy tutorial, analyzing how AI Agents upgrade from ordinary large models that "give solutions" to ones that "deliver results," batch-converting Word to PDF with automatic archiving, plus credit consumption and use-case analysis.
Getting Started with AI Agents: Core Definitions and AI Agent Workflow Explained
Explaining the core definition of AI Agents: LLMs combined with tools, completing tasks through reasoning, tool calling, and iterative loops. Comparing AIGC and AI Agents across core capabilities, interaction models, outputs, and external interaction, and exploring the 2026 Agent surge and development practices.
Browser AI Agent Comparison: How to Choose Among Browy, Browser Use, Skyvern, and Five Other Tools
A side-by-side comparison of seven browser AI agents—Browy, Browser Use, Skyvern, Nanobrowser, Stagehand, Claude in Chrome, and ChatGPT—covering where they run, whose login session they use, who pays for the model, and which use cases each fits best.
Laminar: Using AI Models to Catch Silent Agent Failures
Laminar (YC S24) launches on Hacker News with a purpose-trained model to detect silent failures in AI Agents—semantic errors that logs and metrics miss. We analyze the approach, its value, and open questions.
AI Agents Blocked by Airlines, Banks, and Retailers: The Web Is Building Walls
Yelp, Delta, JPMorgan Chase, and other major services are blocking AI agents, with Cloudflare's default changes widening the blockade. We break down deliberate corporate blocking versus unintended security collateral damage, the latest in Amazon v. Perplexity, and whether Meta-led open standards can reopen the door for AI agents.
Building an Agent on AWS: Score GitHub Repos Before You Clone
FakeGit involved 7,600 malicious GitHub repos and 14M downloads, and agents recommend them. RepoPilot uses AWS Lambda, Nova Pro, and Strands to give any repo a 0-100 trust score and flag dangerous install steps before you clone.
Amazon AGI Lab Open-Sources Perception Agents: Teaching AI to Read the Screen
Amazon AGI Lab open-sources visual annotation and verification perception agent primitives at AI Engineer, letting AI understand screen content and closing the loop from design feedback to code merge.
WorkBuddy Beginner's Guide: How AI Agents Take Large Models from "Talking" to "Doing"
Based on a Bilibili creator's hands-on demo, this guide explains how WorkBuddy AI Agent handles batch PDF conversion and file archiving, contrasts chat-style models like Doubao, and breaks down the full Agent workflow from understanding needs to delivering results, with credit mechanics and beginner tips.